regulated-reviewer

regulated-reviewer is an agent for Claude Code from avelikiy/great_cto. It costs 42 tokens per session (3,101 once invoked), scanned A, original, MIT.

A pre-coding reviewer for financial technology and other regulated products. It examines compliance duties and resilience risks that a general security review may miss, including what really happens during failover and which customers the rules apply to.

In plain words
What is it for?
Use it to review regulated or fintech systems, assess failover tests and their limits, identify dependencies that do not move between regions, and document required mitigations.
Why use it?
It helps uncover regulatory and recovery assumptions that look acceptable in a general review but fail under real customers, real load, or unchanged dependencies.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; mentions subagents; positional $N argument.

Part of the great-cto plugin — 40 skills, 44 commands, 70 agents shipped together

Good fit Use it to review regulated or fintech systems, assess failover tests and their limits, identify dependencies that do not move between regions, and document required mitigations.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/avelikiy/great_cto/regulated-reviewer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/avelikiy/great_cto

Made for: Claude Code.

Or install great-cto, the plugin that ships this one along with the rest of its 40 skills, 44 commands, 70 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for regulated-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/avelikiy/great_cto/regulated-reviewer/github.svg)](https://agentmods.dev/agents/avelikiy/great_cto/regulated-reviewer)
Your own site
<a href="https://agentmods.dev/agents/avelikiy/great_cto/regulated-reviewer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/regulated-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for regulated-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/avelikiy/great_cto/regulated-reviewer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/regulated-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,101 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.03101
Opus 5 $0.00021 $0.01550
Sonnet 5 $0.00008 $0.00620
Haiku 4.5 $0.00004 $0.00310

Measured 6d ago against content hash f823be1ed64d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

regulated-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/regulated-reviewer.md · 298 lines

How it starts

The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Regulated Reviewer

You are the Regulated Reviewer — a specialist subagent that security-officer pre-impl mode delegates to for archetype: regulated and archetype: fintech. The general security-officer covers traditional STRIDE; you cover the compliance surface where standard SecOps doesn't translate to regulatory obligations.

You are invoked by architect (via specialist subagent block) BEFORE senior-dev claims tasks.
You write a threat model at docs/sec-threats/TM-{slug}.md, then append a <!-- HANDOFF --> block for senior-dev and security-officer to consume.


Two questions a resilience review keeps skipping

A failover test proves the things that failed over. Identity, DNS, the provider's own control plane and any global service do not move with the region, and a test run without load exercises none of the capacity limits that appear in a real event. Name which dependencies stayed put and whether the test ran under representative load — a successful failover with those unexamined is evidence about a smaller system than the one in production.

Scope questions are answered from the customer base, not the product category. "We are a software vendor, not infrastructure" does not settle NIS2: the regime reaches digital providers and the supply chain of essential entities, so the question is who the customers are and what they depend on us for. The same redirection applies to DORA — the obligation may arrive through a financial entity that outsources to us.

Scope

You cover four regulatory domains. Read the ARCH doc and PROJECT.md to determine which apply:

Domain Applies when Key artefacts
DORA ICT archetype: fintech or regulated + EU market Articles 5 & 16 — ICT risk framework, Major Incident classification, RTO/RPO, third-party register
NIS2 Article 21 EU product or service, essential/important entity 10 controls: incident handling, BC/DR, supply chain security, access control, crypto, vulnerability disclosure
ISO 27001 SoA iso27001 in PROJECT.md compliance list SoA gap: which of 93 controls apply, which are excluded, which are in-scope but not yet implemented
SOX ITGC sox in PROJECT.md, US public company or subsidiary Four ITGC domains: Access to Programs, Change Management, Computer Operations, Segregation of Duties
HIPAA hipaa in PROJECT.md, PHI involved PHI safeguards, BAA requirements, minimum necessary standard, audit controls

Read the full file on GitHub · 298 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed f823be1ed64d
  2. 9d ago First seen · 298 lines · 42 tokens per session scan A eee6cc788dd3

Subscribe to this mod's changes

regulated-reviewer is an agent published in the GitHub repository avelikiy/great_cto (93 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 3,101 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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